Hybridization of Mean Shift Clustering and Deep Packet Inspected Classification for Network Traffic Analysis-Reference-Cited by-同舟云学术

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Hybridization of Mean Shift Clustering and Deep Packet Inspected Classification for Network Traffic Analysis

Published:2021-02-18 Issue: Volume: Page:
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Kumar Sathish A. P.,Suresh A.,Anand S. Raj,Chokkanathan K.,Vijayasarathy M.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-021-08208-6.pdf

Reference18 articles.

1. Luigi Grimaudo; Marco Mellia; Elena Baralis & Ram Keralapura, . (2014). SeLeCT: Self-Learning Classifier for Internet Traffic. IEEE Transactions on Network and Service Management, 11(2), 144–157.

2. Zhang, J., Yang Xiang, Yu., Wang, W. Z., Xiang, Y., & Guan, Y. (2013). Network Traffic Classification Using Correlation Information. IEEE Transactions on Parallel and Distributed Systems, 24(1), 104–117.

3. Jun Zhang, Xiao Chen, Yang Xiang, Wanlei Zhou, & Jie Wu (2015). Robust Network Traffic Classification. IEEE/ACM Transactions on Networking, 23 (4), 1257–1270.

4. Alok Tongaonkar, Ruben Torres, Marios Iliofotou, Ram Keralapura & Antonio Nucci (2015). Towards self-adaptive network traffic classification. Computer Communications, 56, 35–46.

5. Stefania Tosi, Sara Casolar & Michele Colajanni. (2013). Data clustering based on correlation analysis applied to highly variable domains. Computer Networks, 57, 3025–3038.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Semantic Detection Method for Network Flows With Global and Generalized Nature;IEEE Transactions on Network and Service Management;2024-08

2. Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis;Sensors;2023-10-10

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